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21 April 2023 | Story Rulanzen Martin | Photo Charl Devenish
Dr Rouxan Fouche
Dr Rouxan Fouché on stage in the Callie Human Centre during his graduation ceremony. He hopes his PhD findings will be used to improve the UFS’s Information Technology Service-Learning (ITSL) project’s effectiveness.

When Dr Rouxan Fouché decided to undertake a PhD in Computer Science and Informatics, he was motivated by his commitment to addressing the digital divide in South Africa through service-learning. Through his research, he investigated how the UFS’s Information Technology Service-Learning (ITSL) project could be improved by collaboration with all project stakeholders to positively address and impact the digital divide in the local Mangaung community.

Dr Fouché is a lecturer in the Department of Computer Science and Informatics at the University of the Free State (UFS) and received his PhD during the UFS’s April 2023 graduation ceremonies. 

He based his PhD thesis, titled ‘Addressing the South African Digital Divide through a community-informed strategy for Service-Learning: A Critical Utopian Action Research (CUAR) Approach’, on the service-learning module he taught after he realised the positive effect of an information technology-focussed service-learning module on computer literacy levels in the local community. “The initial goal of the service-learning module was to provide free computer literacy training to computer-illiterate community members as part of the students’ community engagement,” Dr Fouché said. 

Community-focused PhD research

According to Dr Fouché researchers have recently started looking at how universities can use their service-learning modules (as part of community engagement) to bridge and address the digital divide. He also believes “current conceptualisations indicate that most university service-learning endeavours are organised without engaging with the local community or incorporating their specific needs.”

This is where he hopes his research and findings could make a difference.

His study aimed to re-evaluate and revise the ITSL project by using a hands-on, collaborative approach which included all ITSL project stakeholders. Members of the community served by the project were involved in the shared decision-making and knowledge sharing. “Furthermore, the short-term and lasting impacts of this revised community needs-led ITSL project on the participating community members were investigated.” 

The study was conducted in three cycles: Cycle 1 constituted a survey approach to identify the concerns and possible shortcomings of the ITSL project. In Cycle 2, all stakeholders participated in a ‘Future-Creating Workshop’, which reviewed findings from Cycle 1, and a utopian action plan was developed by all involved. Cycle 3 saw the revised project being implemented based on all the recommendations from the previous cycle. “This cycle also included the evaluation of the project’s immediate impact using pre-test and post-test questionnaires completed by project participants.” 

Service-learning project made a difference

When Dr Fouché initiated the ITSL project in 2015, the main objective was to serve and equip Mangaung and surrounding communities with necessary computer literacy skills. The programme entails training in Microsoft Word and Excel via two short learning programmes.

The impact of the programme was far-reaching, as it enabled participants to gain formal employment. “The participants told me that they were able to find employment as service station attendants, administrative clerks, and cashiers, among other roles, due to the computer literacy certificates they received after completing the ITSL project.” Witnessing the positive impact of the ITSL programme led Dr Fouché to focus his PhD research on improving the service-learning offerings the UFS provides for the community. 

“I realised that it was necessary to investigate how the ITSL project could be improved and tailor-made for the community it serves,” he said. 

News Archive

Mathematical methods used to detect and classify breast cancer masses
2016-08-10

Description: Breast lesions Tags: Breast lesions

Examples of Acho’s breast mass
segmentation identification

Breast cancer is the leading cause of female mortality in developing countries. According to the World Health Organization (WHO), the low survival rates in developing countries are mainly due to the lack of early detection and adequate diagnosis programs.

Seeing the picture more clearly

Susan Acho from the University of the Free State’s Department of Medical Physics, breast cancer research focuses on using mathematical methods to delineate and classify breast masses. Advancements in medical research have led to remarkable progress in breast cancer detection, however, according to Acho, the methods of diagnosis currently available commercially, lack a detailed finesse in accurately identifying the boundaries of breast mass lesions.

Inspiration drawn from pioneer

Drawing inspiration from the Mammography Computer Aided Diagnosis Development and Implementation (CAADI) project, which was the brainchild Prof William Rae, Head of the department of Medical Physics, Acho’s MMedSc thesis titled ‘Segmentation and Quantitative Characterisation of Breast Masses Imaged using Digital Mammography’ investigates classical segmentation algorithms, texture features and classification of breast masses in mammography. It is a rare research topic in South Africa.

 Characterisation of breast masses, involves delineating and analysing the breast mass region on a mammogram in order to determine its shape, margin and texture composition. Computer-aided diagnosis (CAD) program detects the outline of the mass lesion, and uses this information together with its texture features to determine the clinical traits of the mass. CAD programs mark suspicious areas for second look or areas on a mammogram that the radiologist might have overlooked. It can act as an independent double reader of a mammogram in institutions where there is a shortage of trained mammogram readers. 

Light at the end of the tunnel

Breast cancer is one of the most common malignancies among females in South Africa. “The challenge is being able to apply these mathematical methods in the medical field to help find solutions to specific medical problems, and that’s what I hope my research will do,” she says.

By using mathematics, physics and digital imaging to understand breast masses on mammograms, her research bridges the gap between these fields to provide algorithms which are applicable in medical image interpretation.

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